Norman Do. A Mathemagical Card Trick. 1 Card Trick

Size: px
Start display at page:

Download "Norman Do. A Mathemagical Card Trick. 1 Card Trick"

Transcription

1 Norman Do A Mathemagical Card Trick 1 Card Trick Here I have a normal deck of 52 playing cards take them and have a look for yourself I would like you to choose five, any five, of your favourite cards and remove them from the deck Now, being careful not to show me, pass those five cards to my lovely assistant She will reveal four of them by placing them face up on the table the 4, the Q, the 5 and then the 10 but leave the identity of the remaining card known only to you and herself And the identity of that card is none other than the 9! Few people would fail to be amazed by this card trick, especially when performed live Many spectators will propose that there is some sleight of hand or secret signalling involved, while the more credulous in the audience may even suspect telepathy! However, I assure you that there is no legerdemain, no underhand communication and certainly no mind reading The cards are all on the table, so to speak, and the only communication seems to be via the order that they are laid down by my lovely assistant Thus, the question which I now ask is purely a mathematical one: How does the trick work? As with any worthwhile mathematical problem, it pays to spend some time working towards a solution So I encourage the reader to immediately grab a pen and the nearest scrap of paper and return to this article only after some serious contemplation The solution appears below but to delay revealing the spoiler, I will briefly recount some history The card trick originated from the mind of mathematician and magician William Fitch Cheney, Jr ( ), who was awarded the first ever PhD in mathematics from MIT Fitch s Five Card Trick, as we shall refer to it, first appeared in print in Wallace Lee s Math Miracles [2] way back in 1950 It was not until 1986 though, that the trick was revived by yet another mathematician and magician Art Benjamin Since then, the trick has achieved more widespread fame, appearing on the recpuzzles newsgroup, in recent articles by Michael Kleber [1] and Colm Mulcahy [3], and even in job interviews! Despite these public appearances, I have come across few people who have had the opportunity to be amazed by Fitch s Five Card Trick Hopefully this article will help to rectify the situation, at least amongst the mathematicians of this country For it serves not only as a beautiful problem and interesting party trick, but also as an instructive and entertaining educational tool, as evidenced by the article Using a Card Trick to Teach Discrete Mathematics [4] My hope is that after passing Fitch s Five Card Trick secrets on to you, that it will then be passed on to others, perhaps in the course of a mathematics lecture But now we turn our attention to the secret behind Fitch s Five Card Trick Congratulations to those who have tried the problem and solved it, commiserations to those who have tried to no avail, and those who have not tried the problem should do so without delay The problem yields to more than one approach, although those of mathematical inclination invariably use the following three main ideas

2 10 Norman Do The first observation we make is that the assistant is handed five cards, whereas there are only four possible suits Thus, a trivial application of the pigeonhole principle yields the fact that at least two cards must be of the same suit So the assistant can choose one of these to be the hidden card and communicate its suit by revealing the other card first The second observation is that the assistant can use the natural ordering on the cards, from Ace up to King Ties can be broken by ordering the suits in bridge, or equivalently alphabetical, order Clubs, Diamonds, Hearts and Spades so that the Ace of Clubs is the lowest card in the deck and the King of Spades the highest After revealing the first card, the assistant has no control over what the remaining three cards are, except that there must be a Low, a Medium and a High with respect to the strict ordering described Thus, rearranging these three cards can communicate one of six things, such as the numbers from 1 to 6 There are many ways to do this, but my preferred method is the following: 1 LMH, 2 LHM, 3 MLH, 4 MHL, 5 HLM, 6 HML Once I see that first card revealed by my assistant, I have immediately pinned down the suit of the hidden card, which leaves only twelve remaining possibilities for its identity Unfortunately, this is twice the number of possible messages which I can receive from my assistant with only three cards remaining Resolving this discrepancy is the most subtle of these three main ideas The critical observation is that a number from 1 to 6 can always be added onto the value of the first card revealed to give the value of the hidden card For example, if the same suit pair consists of the 3 and the 9, then the assistant should play the 3 first and communicate the number 6 with the remaining three cards But if the same suit pair was the 3 and the 10, then the assistant should play the 10 first and communicate the number 6, where the addition is performed modulo 13 The extra factor of two comes from the choice of which of the same suit pair the assistant chooses to reveal and which to hide This solution to the problem is far from unique, although the scheme is certainly one of the easiest to implement between magician and assistant Having said that, I should warn budding magicians not to perform the trick without much practice, some of which can be gained from the following exercise What card is being encoded by the following sequences of four cards? 2, 6, 6, K 9, 3, A, K 4, K, 3, 10 3, A, Q, 8 2 Maths Problems Maximizing the Deck Note that the trick involves the assistant receiving a hand consisting of an unordered set of five cards and encoding it as a message consisting of an ordered set of four cards The astute reader may have noticed that there is some slack in this encryption scheme for the following two reasons In any hand where all four suits do not appear, the assistant can encode the hand in more than one way For example, the unordered set of five cards {5, 2, J, 9, Q }

3 Mathellaneous 11 can be encoded as either of the following two ordered sets of four cards: (J, 9, Q, 5 ) or (9, 5, 2, J ) Any message which contains the card that it encodes will never be used For example, the assistant will never receive a hand which can be encoded by the message (3, J, 6, Q ) A mathematician s first instinct upon seeing some slack in the solution to a problem is to grab a loose end and try to tighten it In this particular problem, this can be achieved by increasing the number of cards in the original deck to more than the standard 52 Thus, the natural question to ask ourselves now is the following What is the largest size deck for which Fitch s Five Card Trick can be performed? Suppose that we wish to perform the trick with a deck of N cards, labelled from 1 up to N Thus, a hand is simply an unordered set of size five while a message is an ordered set of size four, where all elements are integers from 1 to N If we denote the set of hands by H and the set of messages by M, it is clear that the assistant s role in the trick is merely to apply some prearranged function which takes a hand in H and outputs a message in M The magician s role in the card trick is to determine the input hand, and hence the identity of the hidden card, of such a function given only the output message For this to be possible, it is clear that the function must be one-to-one One consequence of this observation is the fact that there must be at least as many messages as there are hands This yields the following non-trivial bound H M N! 5!(N 5)! N! (N 4)! N 124 Although N 124 is a necessary condition for the card trick to work, it may or may not be sufficient Faced with this upper bound on the number of cards, the obvious path from here is to find a lower bound to match In other words, we would like to show that the card trick does, in fact, work with a deck containing as many as 124 cards Given the above discussion, the problem can be presented in the following more visual form Is there a way to pair up each of the unordered sets in the left column with a unique ordered set in the right column in such a way that each set from the left column contains its partner set from the right column? unordered subsets of size 5 ordered subsets of size 4 with elements from 1, 2,, 124 with elements from 1, 2,, 124 {1, 2, 3, 4, 5} (1, 2, 3, 4) {1, 2, 3, 4, 6} (1, 2, 3, 5) {1, 2, 3, 4, 7} (1, 2, 3, 6) {120, 121, 122, 123, 124} (121, 122, 123, 124) Indeed, the answer to the above question is in the affirmative, thus proving that Fitch s Five Card Trick can accommodate a deck with 124 cards The proof of this fact is a beautiful application of Hall s Marriage Theorem, a staple result for combinatorialists The following statement of the theorem and accompanying sketch proof are for those few whom are yet to be fully acquainted with it, but most readers should be familiar enough with the theorem to proceed beyond without delay

4 12 Norman Do Hall s Marriage Theorem: Suppose that there are n boys, each of whom wishes to marry a girl that he knows This is possible if and only if every set of k boys knows at least k girls between them, for all possible k a Sketch proof: Let us say that a set of boys satisfies the Hall Marriage Condition if every set of k boys knows at least k girls between them, for all possible k It is clear that if the boys can be married off, then the Hall Marriage Condition must be satisfied, but the reverse implication is the real meat of the theorem The following is a sketch proof by induction on the number of boys, the base case of one boy being trivial Now suppose that the theorem is true for 1, 2,, n boys and consider a set of n + 1 boys which satisfies the Hall Marriage Condition One of the following two scenarios must occur Every group of k boys knows at least k + 1 girls, for all k n Take any boy and marry him to a girl he knows, of which there are at least 2 Then after removing this happily married couple from the picture, the Hall Marriage Condition still holds for the remaining set of n boys So by the induction hypothesis, the rest of these boys can also be happily married There exists a group of k boys which knows exactly k girls, for k n Note that the Hall Marriage Condition is satisfied by this set of k boys, so by the induction hypothesis, we can marry them off Then after removing these k happily married couples from the picture, the Hall Marriage Condition still holds for the remaining set of n + 1 k boys, a fact which the interested reader should verify So by the induction hypothesis, the rest of these boys can also be happily married a The majority of expositions on Hall s Marriage Theorem involve a number of girls who wish to find husbands for themselves Hopefully, the statement provided here will help to restore the balance! In order to use Hall s Marriage Theorem in this context, it is helpful to think of the ordered sets in the left column of the table as the boys and the unordered sets in the right column as the girls In particular, we will declare that a boy and girl know each other if and only if the boy set contains the girl set Of course, all of this information can be neatly represented as a bipartite graph where the 124 vertices in each partition represent the boys and the girls, while edges represent mutual acquaintance This particular graph has a great deal of structure, not least the fact that every vertex has degree exactly 120, as the reader can easily verify Suppose now that there is a set of k boys who know between them m girls Then there must be 120k edges emanating from those k boy vertices in the graph and the m girl vertices must on average have degree at least 120k/m In the case m < k, this value is greater than 120, contradicting the fact that every vertex in the graph has degree exactly 120 So m k as required, proving that the Hall Marriage Condition is satisfied for this particular set of boys and girls Thus, we conclude that the required function exists Constructive Proof We have proved, somewhat surprisingly, that Fitch s Five Card Trick can be performed using a deck of 124 cards, but no more But even the purest of mathematicians would be uneasy with this proof for to actually perform the trick requires more than knowledge of the existence of a strategy In fact, not only do we need an explicit example, but for practical reasons, it is convenient to have one which is easy to implement Can you find an easy to implement strategy to perform Fitch s Five Card Trick for a deck with 124 cards?

5 Mathellaneous 13 Of course, what we mean by easy to implement is subject to debate, but the following scheme is arguably the simplest known Suppose that the hand drawn consists of the five cards 1 c 1 < c 2 < c 3 < c 4 < c The lovely assistant should keep the card c m hidden, where m is chosen to satisfy m c 1 + c 2 + c 3 + c 4 + c 5, where this and subsequent calculations are considered modulo 5 If we let s denote the sum of the four revealed cards, it is clear that c m + s m, so that c m m s In other words, one of the following five cases must occur: c m is the smallest card in the hand and satisfies c m 1 s; c m is the second smallest card in the hand and satisfies c m 2 s; c m is the third smallest card in the hand and satisfies c m 3 s; c m is the fourth smallest card in the hand and satisfies c m 4 s; or c m is the largest card in the hand and satisfies c m 5 s A far more succinct way to think about the matter is as follows If the remaining 120 cards, apart from the four revealed, are renumbered from 1 to 120 in increasing order of size, then c m 1 s in the new labelling system Since there are only 120/5 = 24 possible labels with the given value modulo 5, the four cards revealed can be ordered in any of 4! = 24 ways to communicate the new label of the hidden card c m It is a simple matter to convert back from the new to the old labels on the cards 3 Variations on a Theme Ups and Downs After a few repeat performances with the same audience, Fitch s Five Card Trick may start to lose some of its shine This little variation on the original trick due to Colm Mulcahy [3] can add a little more spice to the show It is based on the fact that numbers can be communicated in binary by placing the cards face up or face down Just as before, there are three main ideas behind the trick, two of which remain exactly the same as before The pigeonhole principle guarantees that we can communicate the suit of the hidden card using the first card revealed, while the choice of which card to hide means that we need only communicate a number from 1 through to 6 This is now a simple task in binary, using a face down card to represent 0 and a face up card to represent 1 More explicitly, the correspondence is as follows: 1 DDU, 2 DUD, 3 DUU, 4 UDD, 5 UDU, 6 UUD Two notable observations can help to spice up this variation even more Firstly, since the UUU combination is never used here, the assistant can choose to switch from the original trick to this variation mid-performance Mulcahy suggests using the line, Should we make it harder this time, and only show some of the cards? Secondly, the DDD combination is also never used here, so the first face up card among the three binary digits can always be used to give the suit, thereby making the first card redundant Thus, only three cards need ever be shown, either face up or face down, while the fourth card can be completely ignored What card is being encoded by the following sequences of four cards, using the Ups and Downs variation? 2, 6, DOWN, K 9, 3, DOWN, DOWN 4, DOWN, 3, DOW N 3, A, Q, DOWN

6 14 Norman Do Suit Alterations A shortcoming of the method given above to perform Fitch s Five Card Trick is the fact that the suit of the first card revealed will always match that of the hidden card It is altogether likely that shrewd audience members will pick up on this feature upon repeat performances It would be nice to tweak the above scheme so that the card which determines the suit of the hidden card is not always revealed first This can be achieved using the following scheme Sum the values of the four cards revealed and reduce modulo 4 to obtain the number 1, 2, 3 or 4 Then use that position to communicate the suit of the hidden card and the remaining three to communicate the value For example, consider the example from the beginning of this article 4, Q, 5 and 10 Summing the values of the cards gives modulo 4 Thus, the 5 determines the suit of the hidden card, the remaining three cards 4, Q, 10 are in LHM order, and the hidden card must be the 8 What card is being encoded by the following sequences of four cards using the Suit Alterations variation? 2, 6, 6, K 9, 3, A, K 4, K, 3, 10 3, A, Q, 8 Cards and Coins In Kleber s article [1], he mentions that Elwyn Berlekamp performs the trick with a deck of size 64, with the additional feat of guessing the result of a coin flipped by an audience member The trick works in a similar fashion to the scheme proposed for 124 cards above, but upon removing the four cards, only 60 remain rather than 120, and the result of the coin flip is encoded using the remaining bit of information 4 Further Thoughts Generalizing Fitch s Five Card Trick Fitch s Five Card Trick originally involved five cards in order to accommodate the standard deck size of 52 cards However, if we are to consider decks of arbitrary sizes, then there is nothing to stop us from also considering in all generality an n card trick, where the audience member may remove n cards from the deck We can even generalize the number of cards revealed by the assistant to be some value r, so that the magician must then be able to name the remaining n r cards Fortunately, a completely analogous analysis to the one performed above, using Hall s Marriage Theorem, guarantees the existence of strategies for certain values of N, where N is the number of cards in the deck Let us call this generalized version Fitch s (n, r) Card Trick, so that the (5, 4) case corresponds to the original version A strategy exists for Fitch s (n, r) Card Trick if and only if (N r)! (N n)! n! However, similar to the analysis performed earlier, the proof shows the existence without a concrete construction Thus, it would be nice to have an answer to the following question For arbitrary values of n, r and N satisfying the above inequality, is there an easy to implement strategy?

7 Mathellaneous 15 Perfect Card Tricks One of the pleasing properties about performing Fitch s Five Card Trick with the maximal deck size of 124 is that the number of possible hands is exactly equal to the number of possible messages there is absolutely no slack in the encryption scheme More generally, if we were to perform Fitch s (n, n 1) Card Trick, the maximal deck size can be obtained using the bound given above (N n + 1)! (N n)! n! N n! + n 1 When equality holds, in other words N = n! + n 1, we are again in the pleasing situation of having an equal number of possible hands and possible messages Following the parallel with perfect codes from coding theory, let us call Fitch s (n, p) Card Trick a perfect card trick if there exists a deck size for which the number of hands is equal to the number of messages A perfect card trick results from equality in the bound given earlier, so finding them boils down to solving the following Diophantine equation For which positive integer values of n and p does there exist a positive integer N such that (N p)! (N n)! = n!? I have not had the time to solve or research the problem, so I do not know in which part of the spectrum from trivial to notoriously impossible the problem lies How Many Card Tricks? In the articles [1] and [4], the authors raise the combinatorial question of counting the number of strategies that exist for performing Fitch s Five Card Trick Of course, the problem can be answered for the standard deck of 52 cards or for the maximal deck of 124 cards It can also be generalized to Fitch s (n, r) Card Trick It probably makes sense to only count strategies as equivalent if they are related by renumbering the underlying deck of cards How many strategies modulo equivalence exist to perform Fitch s (n, r) Card Trick? More Card Tricks This particular gem is one of only a small number of card tricks to my knowledge that relate to non-trivial mathematics I would be very interested to hear of any others from the readership of the Gazette References [1] M Kleber, The Best Card Trick, The Mathematical Intelligencer 24 (2002) [2] W Lee, Math Miracles, Seeman Printery, Inc, Durham, NC (1950), [3] C Mulcahy, Fitch Cheney s Five Card Trick, Math Horizons (February, 2003) [4] S Simonson and T Holm, Using a Card Trick to Teach Discrete Mathematics, PRIMUS 13, (2003), Department of Mathematics and Statistics, The University of Melbourne, VIC NDo@msunimelbeduau

Problem Set 8 Solutions R Y G R R G

Problem Set 8 Solutions R Y G R R G 6.04/18.06J Mathematics for Computer Science April 5, 005 Srini Devadas and Eric Lehman Problem Set 8 Solutions Due: Monday, April 11 at 9 PM in Room 3-044 Problem 1. An electronic toy displays a 4 4 grid

More information

Lecture 18 - Counting

Lecture 18 - Counting Lecture 18 - Counting 6.0 - April, 003 One of the most common mathematical problems in computer science is counting the number of elements in a set. This is often the core difficulty in determining a program

More information

37 Game Theory. Bebe b1 b2 b3. a Abe a a A Two-Person Zero-Sum Game

37 Game Theory. Bebe b1 b2 b3. a Abe a a A Two-Person Zero-Sum Game 37 Game Theory Game theory is one of the most interesting topics of discrete mathematics. The principal theorem of game theory is sublime and wonderful. We will merely assume this theorem and use it to

More information

The mathematics of the flip and horseshoe shuffles

The mathematics of the flip and horseshoe shuffles The mathematics of the flip and horseshoe shuffles Steve Butler Persi Diaconis Ron Graham Abstract We consider new types of perfect shuffles wherein a deck is split in half, one half of the deck is reversed,

More information

The mathematics of the flip and horseshoe shuffles

The mathematics of the flip and horseshoe shuffles The mathematics of the flip and horseshoe shuffles Steve Butler Persi Diaconis Ron Graham Abstract We consider new types of perfect shuffles wherein a deck is split in half, one half of the deck is reversed,

More information

Block 1 - Sets and Basic Combinatorics. Main Topics in Block 1:

Block 1 - Sets and Basic Combinatorics. Main Topics in Block 1: Block 1 - Sets and Basic Combinatorics Main Topics in Block 1: A short revision of some set theory Sets and subsets. Venn diagrams to represent sets. Describing sets using rules of inclusion. Set operations.

More information

To Your Hearts Content

To Your Hearts Content To Your Hearts Content Hang Chen University of Central Missouri Warrensburg, MO 64093 hchen@ucmo.edu Curtis Cooper University of Central Missouri Warrensburg, MO 64093 cooper@ucmo.edu Arthur Benjamin [1]

More information

THE PIGEONHOLE PRINCIPLE. MARK FLANAGAN School of Electrical and Electronic Engineering University College Dublin

THE PIGEONHOLE PRINCIPLE. MARK FLANAGAN School of Electrical and Electronic Engineering University College Dublin THE PIGEONHOLE PRINCIPLE MARK FLANAGAN School of Electrical and Electronic Engineering University College Dublin The Pigeonhole Principle: If n + 1 objects are placed into n boxes, then some box contains

More information

Grades 7 & 8, Math Circles 27/28 February, 1 March, Mathematical Magic

Grades 7 & 8, Math Circles 27/28 February, 1 March, Mathematical Magic Faculty of Mathematics Waterloo, Ontario N2L 3G1 Centre for Education in Mathematics and Computing Card Tricks Grades 7 & 8, Math Circles 27/28 February, 1 March, 2018 Mathematical Magic Have you ever

More information

Ivan Guo. Broken bridges There are thirteen bridges connecting the banks of River Pluvia and its six piers, as shown in the diagram below:

Ivan Guo. Broken bridges There are thirteen bridges connecting the banks of River Pluvia and its six piers, as shown in the diagram below: Ivan Guo Welcome to the Australian Mathematical Society Gazette s Puzzle Corner No. 20. Each issue will include a handful of fun, yet intriguing, puzzles for adventurous readers to try. The puzzles cover

More information

Greedy Flipping of Pancakes and Burnt Pancakes

Greedy Flipping of Pancakes and Burnt Pancakes Greedy Flipping of Pancakes and Burnt Pancakes Joe Sawada a, Aaron Williams b a School of Computer Science, University of Guelph, Canada. Research supported by NSERC. b Department of Mathematics and Statistics,

More information

12. 6 jokes are minimal.

12. 6 jokes are minimal. Pigeonhole Principle Pigeonhole Principle: When you organize n things into k categories, one of the categories has at least n/k things in it. Proof: If each category had fewer than n/k things in it then

More information

Senior Math Circles February 10, 2010 Game Theory II

Senior Math Circles February 10, 2010 Game Theory II 1 University of Waterloo Faculty of Mathematics Centre for Education in Mathematics and Computing Senior Math Circles February 10, 2010 Game Theory II Take-Away Games Last Wednesday, you looked at take-away

More information

Discrete Mathematics. Spring 2017

Discrete Mathematics. Spring 2017 Discrete Mathematics Spring 2017 Previous Lecture Binomial Coefficients Pascal s Triangle The Pigeonhole Principle If a flock of 20 pigeons roosts in a set of 19 pigeonholes, one of the pigeonholes must

More information

Mathemagic with a Deck of Cards

Mathemagic with a Deck of Cards RWTH Aachen Mathemagic with a Deck of Cards Card Colm Mulcahy www.cardcolm.org @CardColm Spelman College, Atlanta, Georgia, USA 10 May 2016 Mathemagic with a Deck of Cards There seems to be no end to the

More information

The Pigeonhole Principle

The Pigeonhole Principle The Pigeonhole Principle Some Questions Does there have to be two trees on Earth with the same number of leaves? How large of a set of distinct integers between 1 and 200 is needed to assure that two numbers

More information

How to Become a Mathemagician: Mental Calculations and Math Magic

How to Become a Mathemagician: Mental Calculations and Math Magic How to Become a Mathemagician: Mental Calculations and Math Magic Adam Gleitman (amgleit@mit.edu) Splash 2012 A mathematician is a conjurer who gives away his secrets. John H. Conway This document describes

More information

Dealing with some maths

Dealing with some maths Dealing with some maths Hayden Tronnolone School of Mathematical Sciences University of Adelaide August 20th, 2012 To call a spade a spade First, some dealing... Hayden Tronnolone (University of Adelaide)

More information

Solutions for the Practice Final

Solutions for the Practice Final Solutions for the Practice Final 1. Ian and Nai play the game of todo, where at each stage one of them flips a coin and then rolls a die. The person who played gets as many points as the number rolled

More information

Problem Set 8 Solutions R Y G R R G

Problem Set 8 Solutions R Y G R R G 6.04/18.06J Mathematics for Computer Science April 5, 005 Srini Devadas and Eric Lehman Problem Set 8 Solutions Due: Monday, April 11 at 9 PM in oom 3-044 Problem 1. An electronic toy displays a 4 4 grid

More information

Laboratory 1: Uncertainty Analysis

Laboratory 1: Uncertainty Analysis University of Alabama Department of Physics and Astronomy PH101 / LeClair May 26, 2014 Laboratory 1: Uncertainty Analysis Hypothesis: A statistical analysis including both mean and standard deviation can

More information

Grade 6, Math Circles 27/28 March, Mathematical Magic

Grade 6, Math Circles 27/28 March, Mathematical Magic Faculty of Mathematics Waterloo, Ontario N2L 3G1 Centre for Education in Mathematics and Computing Card Tricks Grade 6, Math Circles 27/28 March, 2018 Mathematical Magic Have you ever seen a magic show?

More information

An Amazing Mathematical Card Trick

An Amazing Mathematical Card Trick Claremont Colleges Scholarship @ Claremont All HMC Faculty Publications and Research HMC Faculty Scholarship 1-1-2010 An Amazing Mathematical Card Trick Arthur T. Benjamin Harvey Mudd College Recommended

More information

An Intuitive Approach to Groups

An Intuitive Approach to Groups Chapter An Intuitive Approach to Groups One of the major topics of this course is groups. The area of mathematics that is concerned with groups is called group theory. Loosely speaking, group theory is

More information

LESSON 2: THE INCLUSION-EXCLUSION PRINCIPLE

LESSON 2: THE INCLUSION-EXCLUSION PRINCIPLE LESSON 2: THE INCLUSION-EXCLUSION PRINCIPLE The inclusion-exclusion principle (also known as the sieve principle) is an extended version of the rule of the sum. It states that, for two (finite) sets, A

More information

CIS 2033 Lecture 6, Spring 2017

CIS 2033 Lecture 6, Spring 2017 CIS 2033 Lecture 6, Spring 2017 Instructor: David Dobor February 2, 2017 In this lecture, we introduce the basic principle of counting, use it to count subsets, permutations, combinations, and partitions,

More information

Teaching the TERNARY BASE

Teaching the TERNARY BASE Features Teaching the TERNARY BASE Using a Card Trick SUHAS SAHA Any sufficiently advanced technology is indistinguishable from magic. Arthur C. Clarke, Profiles of the Future: An Inquiry Into the Limits

More information

Norman Do. Department of Mathematics and Statistics, The University of Melbourne, VIC

Norman Do. Department of Mathematics and Statistics, The University of Melbourne, VIC Norman Do Welcome to the Australian Mathematical Society Gazette s Puzzle Corner. Each issue will include a handful of entertaining puzzles for adventurous readers to try. The puzzles cover a range of

More information

Yale University Department of Computer Science

Yale University Department of Computer Science LUX ETVERITAS Yale University Department of Computer Science Secret Bit Transmission Using a Random Deal of Cards Michael J. Fischer Michael S. Paterson Charles Rackoff YALEU/DCS/TR-792 May 1990 This work

More information

Norman Do. Bags and eggs If you have 20 bags, what is the minimum number of eggs required so that you can have a different number of eggs in each bag?

Norman Do. Bags and eggs If you have 20 bags, what is the minimum number of eggs required so that you can have a different number of eggs in each bag? Norman Do Welcome to the Australian Mathematical Society Gazette s Puzzle Corner. Each issue will include a handful of entertaining puzzles for adventurous readers to try. The puzzles cover a range of

More information

March 5, What is the area (in square units) of the region in the first quadrant defined by 18 x + y 20?

March 5, What is the area (in square units) of the region in the first quadrant defined by 18 x + y 20? March 5, 007 1. We randomly select 4 prime numbers without replacement from the first 10 prime numbers. What is the probability that the sum of the four selected numbers is odd? (A) 0.1 (B) 0.30 (C) 0.36

More information

Two-person symmetric whist

Two-person symmetric whist Two-person symmetric whist Johan Wästlund Linköping studies in Mathematics, No. 4, February 21, 2005 Series editor: Bengt Ove Turesson The publishers will keep this document on-line on the Internet (or

More information

Mathematical Magic Tricks

Mathematical Magic Tricks Mathematical Magic Tricks T. Christine Stevens, American Mathematical Society Project NExT workshop, Chicago, Illinois, 7/25/17 Here are some magic tricks that I have used with students

More information

The next several lectures will be concerned with probability theory. We will aim to make sense of statements such as the following:

The next several lectures will be concerned with probability theory. We will aim to make sense of statements such as the following: CS 70 Discrete Mathematics for CS Fall 2004 Rao Lecture 14 Introduction to Probability The next several lectures will be concerned with probability theory. We will aim to make sense of statements such

More information

Products of Universal Cycles

Products of Universal Cycles Products of Universal Cycles Persi Diaconis Ron Graham Abstract Universal cycles are generalizations of de Bruijn cycles to combinatorial patterns other than binary strings. We show how to construct a

More information

Three of these grids share a property that the other three do not. Can you find such a property? + mod

Three of these grids share a property that the other three do not. Can you find such a property? + mod PPMTC 22 Session 6: Mad Vet Puzzles Session 6: Mad Veterinarian Puzzles There is a collection of problems that have come to be known as "Mad Veterinarian Puzzles", for reasons which will soon become obvious.

More information

Problem 4.R1: Best Range

Problem 4.R1: Best Range CSC 45 Problem Set 4 Due Tuesday, February 7 Problem 4.R1: Best Range Required Problem Points: 50 points Background Consider a list of integers (positive and negative), and you are asked to find the part

More information

GEOGRAPHY PLAYED ON AN N-CYCLE TIMES A 4-CYCLE

GEOGRAPHY PLAYED ON AN N-CYCLE TIMES A 4-CYCLE GEOGRAPHY PLAYED ON AN N-CYCLE TIMES A 4-CYCLE M. S. Hogan 1 Department of Mathematics and Computer Science, University of Prince Edward Island, Charlottetown, PE C1A 4P3, Canada D. G. Horrocks 2 Department

More information

6.1 Basics of counting

6.1 Basics of counting 6.1 Basics of counting CSE2023 Discrete Computational Structures Lecture 17 1 Combinatorics: they study of arrangements of objects Enumeration: the counting of objects with certain properties (an important

More information

Crossing Game Strategies

Crossing Game Strategies Crossing Game Strategies Chloe Avery, Xiaoyu Qiao, Talon Stark, Jerry Luo March 5, 2015 1 Strategies for Specific Knots The following are a couple of crossing game boards for which we have found which

More information

Modular Arithmetic. Kieran Cooney - February 18, 2016

Modular Arithmetic. Kieran Cooney - February 18, 2016 Modular Arithmetic Kieran Cooney - kieran.cooney@hotmail.com February 18, 2016 Sums and products in modular arithmetic Almost all of elementary number theory follows from one very basic theorem: Theorem.

More information

Compound Probability. Set Theory. Basic Definitions

Compound Probability. Set Theory. Basic Definitions Compound Probability Set Theory A probability measure P is a function that maps subsets of the state space Ω to numbers in the interval [0, 1]. In order to study these functions, we need to know some basic

More information

TOPOLOGY, LIMITS OF COMPLEX NUMBERS. Contents 1. Topology and limits of complex numbers 1

TOPOLOGY, LIMITS OF COMPLEX NUMBERS. Contents 1. Topology and limits of complex numbers 1 TOPOLOGY, LIMITS OF COMPLEX NUMBERS Contents 1. Topology and limits of complex numbers 1 1. Topology and limits of complex numbers Since we will be doing calculus on complex numbers, not only do we need

More information

With Question/Answer Animations. Chapter 6

With Question/Answer Animations. Chapter 6 With Question/Answer Animations Chapter 6 Chapter Summary The Basics of Counting The Pigeonhole Principle Permutations and Combinations Binomial Coefficients and Identities Generalized Permutations and

More information

Combinatorial Games. Jeffrey Kwan. October 2, 2017

Combinatorial Games. Jeffrey Kwan. October 2, 2017 Combinatorial Games Jeffrey Kwan October 2, 2017 Don t worry, it s just a game... 1 A Brief Introduction Almost all of the games that we will discuss will involve two players with a fixed set of rules

More information

Cutting a Pie Is Not a Piece of Cake

Cutting a Pie Is Not a Piece of Cake Cutting a Pie Is Not a Piece of Cake Julius B. Barbanel Department of Mathematics Union College Schenectady, NY 12308 barbanej@union.edu Steven J. Brams Department of Politics New York University New York,

More information

A Covering System with Minimum Modulus 42

A Covering System with Minimum Modulus 42 Brigham Young University BYU ScholarsArchive All Theses and Dissertations 2014-12-01 A Covering System with Minimum Modulus 42 Tyler Owens Brigham Young University - Provo Follow this and additional works

More information

SMT 2014 Advanced Topics Test Solutions February 15, 2014

SMT 2014 Advanced Topics Test Solutions February 15, 2014 1. David flips a fair coin five times. Compute the probability that the fourth coin flip is the first coin flip that lands heads. 1 Answer: 16 ( ) 1 4 Solution: David must flip three tails, then heads.

More information

Reading 14 : Counting

Reading 14 : Counting CS/Math 240: Introduction to Discrete Mathematics Fall 2015 Instructors: Beck Hasti, Gautam Prakriya Reading 14 : Counting In this reading we discuss counting. Often, we are interested in the cardinality

More information

1.6 Congruence Modulo m

1.6 Congruence Modulo m 1.6 Congruence Modulo m 47 5. Let a, b 2 N and p be a prime. Prove for all natural numbers n 1, if p n (ab) and p - a, then p n b. 6. In the proof of Theorem 1.5.6 it was stated that if n is a prime number

More information

Tilings with T and Skew Tetrominoes

Tilings with T and Skew Tetrominoes Quercus: Linfield Journal of Undergraduate Research Volume 1 Article 3 10-8-2012 Tilings with T and Skew Tetrominoes Cynthia Lester Linfield College Follow this and additional works at: http://digitalcommons.linfield.edu/quercus

More information

Asymptotic Results for the Queen Packing Problem

Asymptotic Results for the Queen Packing Problem Asymptotic Results for the Queen Packing Problem Daniel M. Kane March 13, 2017 1 Introduction A classic chess problem is that of placing 8 queens on a standard board so that no two attack each other. This

More information

17. Symmetries. Thus, the example above corresponds to the matrix: We shall now look at how permutations relate to trees.

17. Symmetries. Thus, the example above corresponds to the matrix: We shall now look at how permutations relate to trees. 7 Symmetries 7 Permutations A permutation of a set is a reordering of its elements Another way to look at it is as a function Φ that takes as its argument a set of natural numbers of the form {, 2,, n}

More information

Edge-disjoint tree representation of three tree degree sequences

Edge-disjoint tree representation of three tree degree sequences Edge-disjoint tree representation of three tree degree sequences Ian Min Gyu Seong Carleton College seongi@carleton.edu October 2, 208 Ian Min Gyu Seong (Carleton College) Trees October 2, 208 / 65 Trees

More information

The Problem. Tom Davis December 19, 2016

The Problem. Tom Davis  December 19, 2016 The 1 2 3 4 Problem Tom Davis tomrdavis@earthlink.net http://www.geometer.org/mathcircles December 19, 2016 Abstract The first paragraph in the main part of this article poses a problem that can be approached

More information

Counting. Chapter 6. With Question/Answer Animations

Counting. Chapter 6. With Question/Answer Animations . All rights reserved. Authorized only for instructor use in the classroom. No reproduction or further distribution permitted without the prior written consent of McGraw-Hill Education. Counting Chapter

More information

Restricted Choice In Bridge and Other Related Puzzles

Restricted Choice In Bridge and Other Related Puzzles Restricted Choice In Bridge and Other Related Puzzles P. Tobias, 9/4/2015 Before seeing how the principle of Restricted Choice can help us play suit combinations better let s look at the best way (in order

More information

NON-OVERLAPPING PERMUTATION PATTERNS. To Doron Zeilberger, for his Sixtieth Birthday

NON-OVERLAPPING PERMUTATION PATTERNS. To Doron Zeilberger, for his Sixtieth Birthday NON-OVERLAPPING PERMUTATION PATTERNS MIKLÓS BÓNA Abstract. We show a way to compute, to a high level of precision, the probability that a randomly selected permutation of length n is nonoverlapping. As

More information

Non-overlapping permutation patterns

Non-overlapping permutation patterns PU. M. A. Vol. 22 (2011), No.2, pp. 99 105 Non-overlapping permutation patterns Miklós Bóna Department of Mathematics University of Florida 358 Little Hall, PO Box 118105 Gainesville, FL 326118105 (USA)

More information

Whole Numbers. Predecessor and successor Given any natural number, you can add 1 to that number and get the next number i.e. you

Whole Numbers. Predecessor and successor Given any natural number, you can add 1 to that number and get the next number i.e. you Whole Numbers Chapter.1 Introduction As we know, we use 1,, 3, 4,... when we begin to count. They come naturally when we start counting. Hence, mathematicians call the counting numbers as Natural numbers.

More information

Rosen, Discrete Mathematics and Its Applications, 6th edition Extra Examples

Rosen, Discrete Mathematics and Its Applications, 6th edition Extra Examples Rosen, Discrete Mathematics and Its Applications, 6th edition Extra Examples Section 1.7 Proof Methods and Strategy Page references correspond to locations of Extra Examples icons in the textbook. p.87,

More information

COUNTING AND PROBABILITY

COUNTING AND PROBABILITY CHAPTER 9 COUNTING AND PROBABILITY It s as easy as 1 2 3. That s the saying. And in certain ways, counting is easy. But other aspects of counting aren t so simple. Have you ever agreed to meet a friend

More information

What is counting? (how many ways of doing things) how many possible ways to choose 4 people from 10?

What is counting? (how many ways of doing things) how many possible ways to choose 4 people from 10? Chapter 5. Counting 5.1 The Basic of Counting What is counting? (how many ways of doing things) combinations: how many possible ways to choose 4 people from 10? how many license plates that start with

More information

MAT3707. Tutorial letter 202/1/2017 DISCRETE MATHEMATICS: COMBINATORICS. Semester 1. Department of Mathematical Sciences MAT3707/202/1/2017

MAT3707. Tutorial letter 202/1/2017 DISCRETE MATHEMATICS: COMBINATORICS. Semester 1. Department of Mathematical Sciences MAT3707/202/1/2017 MAT3707/0//07 Tutorial letter 0//07 DISCRETE MATHEMATICS: COMBINATORICS MAT3707 Semester Department of Mathematical Sciences SOLUTIONS TO ASSIGNMENT 0 BARCODE Define tomorrow university of south africa

More information

Dyck paths, standard Young tableaux, and pattern avoiding permutations

Dyck paths, standard Young tableaux, and pattern avoiding permutations PU. M. A. Vol. 21 (2010), No.2, pp. 265 284 Dyck paths, standard Young tableaux, and pattern avoiding permutations Hilmar Haukur Gudmundsson The Mathematics Institute Reykjavik University Iceland e-mail:

More information

EXPLAINING THE SHAPE OF RSK

EXPLAINING THE SHAPE OF RSK EXPLAINING THE SHAPE OF RSK SIMON RUBINSTEIN-SALZEDO 1. Introduction There is an algorithm, due to Robinson, Schensted, and Knuth (henceforth RSK), that gives a bijection between permutations σ S n and

More information

PRIMES STEP Plays Games

PRIMES STEP Plays Games PRIMES STEP Plays Games arxiv:1707.07201v1 [math.co] 22 Jul 2017 Pratik Alladi Neel Bhalla Tanya Khovanova Nathan Sheffield Eddie Song William Sun Andrew The Alan Wang Naor Wiesel Kevin Zhang Kevin Zhao

More information

18.204: CHIP FIRING GAMES

18.204: CHIP FIRING GAMES 18.204: CHIP FIRING GAMES ANNE KELLEY Abstract. Chip firing is a one-player game where piles start with an initial number of chips and any pile with at least two chips can send one chip to the piles on

More information

CITS2211 Discrete Structures Turing Machines

CITS2211 Discrete Structures Turing Machines CITS2211 Discrete Structures Turing Machines October 23, 2017 Highlights We have seen that FSMs and PDAs are surprisingly powerful But there are some languages they can not recognise We will study a new

More information

Sec 5.1 The Basics of Counting

Sec 5.1 The Basics of Counting 1 Sec 5.1 The Basics of Counting Combinatorics, the study of arrangements of objects, is an important part of discrete mathematics. In this chapter, we will learn basic techniques of counting which has

More information

Aesthetically Pleasing Azulejo Patterns

Aesthetically Pleasing Azulejo Patterns Bridges 2009: Mathematics, Music, Art, Architecture, Culture Aesthetically Pleasing Azulejo Patterns Russell Jay Hendel Mathematics Department, Room 312 Towson University 7800 York Road Towson, MD, 21252,

More information

Topics to be covered

Topics to be covered Basic Counting 1 Topics to be covered Sum rule, product rule, generalized product rule Permutations, combinations Binomial coefficients, combinatorial proof Inclusion-exclusion principle Pigeon Hole Principle

More information

Mechanism Design without Money II: House Allocation, Kidney Exchange, Stable Matching

Mechanism Design without Money II: House Allocation, Kidney Exchange, Stable Matching Algorithmic Game Theory Summer 2016, Week 8 Mechanism Design without Money II: House Allocation, Kidney Exchange, Stable Matching ETH Zürich Peter Widmayer, Paul Dütting Looking at the past few lectures

More information

Today s Topics. Sometimes when counting a set, we count the same item more than once

Today s Topics. Sometimes when counting a set, we count the same item more than once Today s Topics Inclusion/exclusion principle The pigeonhole principle Sometimes when counting a set, we count the same item more than once For instance, if something can be done n 1 ways or n 2 ways, but

More information

HOMEWORK ASSIGNMENT 5

HOMEWORK ASSIGNMENT 5 HOMEWORK ASSIGNMENT 5 MATH 251, WILLIAMS COLLEGE, FALL 2006 Abstract. These are the instructor s solutions. 1. Big Brother The social security number of a person is a sequence of nine digits that are not

More information

A Note on Downup Permutations and Increasing Trees DAVID CALLAN. Department of Statistics. Medical Science Center University Ave

A Note on Downup Permutations and Increasing Trees DAVID CALLAN. Department of Statistics. Medical Science Center University Ave A Note on Downup Permutations and Increasing 0-1- Trees DAVID CALLAN Department of Statistics University of Wisconsin-Madison Medical Science Center 1300 University Ave Madison, WI 53706-153 callan@stat.wisc.edu

More information

Counting integral solutions

Counting integral solutions Thought exercise 2.2 25 Counting integral solutions Question: How many non-negative integer solutions are there of x 1 + x 2 + x 3 + x 4 =10? Give some examples of solutions. Characterize what solutions

More information

The topic for the third and final major portion of the course is Probability. We will aim to make sense of statements such as the following:

The topic for the third and final major portion of the course is Probability. We will aim to make sense of statements such as the following: CS 70 Discrete Mathematics for CS Spring 2006 Vazirani Lecture 17 Introduction to Probability The topic for the third and final major portion of the course is Probability. We will aim to make sense of

More information

Assignment 2. Due: Monday Oct. 15, :59pm

Assignment 2. Due: Monday Oct. 15, :59pm Introduction To Discrete Math Due: Monday Oct. 15, 2012. 11:59pm Assignment 2 Instructor: Mohamed Omar Math 6a For all problems on assignments, you are allowed to use the textbook, class notes, and other

More information

Notes for Recitation 3

Notes for Recitation 3 6.042/18.062J Mathematics for Computer Science September 17, 2010 Tom Leighton, Marten van Dijk Notes for Recitation 3 1 State Machines Recall from Lecture 3 (9/16) that an invariant is a property of a

More information

Two Flipping Puzzles...

Two Flipping Puzzles... Mugged by a puzzle... Two Flipping Puzzles... Colin Wright Pure Maths Day Keele University While swapping puzzles during the Recreational Maths Colloquium in January 2015 I was presented with the question

More information

Chapter 1. Mathematics in the Air

Chapter 1. Mathematics in the Air Chapter 1 Mathematics in the Air Most mathematical tricks make for poor magic and in fact have very little mathematics in them. The phrase mathematical card trick conjures up visions of endless dealing

More information

arxiv: v1 [math.co] 17 May 2016

arxiv: v1 [math.co] 17 May 2016 arxiv:1605.05601v1 [math.co] 17 May 2016 Alternator Coins Benjamin Chen, Ezra Erives, Leon Fan, Michael Gerovitch, Jonathan Hsu, Tanya Khovanova, Neil Malur, Ashwin Padaki, Nastia Polina, Will Sun, Jacob

More information

Game Theory and Algorithms Lecture 19: Nim & Impartial Combinatorial Games

Game Theory and Algorithms Lecture 19: Nim & Impartial Combinatorial Games Game Theory and Algorithms Lecture 19: Nim & Impartial Combinatorial Games May 17, 2011 Summary: We give a winning strategy for the counter-taking game called Nim; surprisingly, it involves computations

More information

A MOVING-KNIFE SOLUTION TO THE FOUR-PERSON ENVY-FREE CAKE-DIVISION PROBLEM

A MOVING-KNIFE SOLUTION TO THE FOUR-PERSON ENVY-FREE CAKE-DIVISION PROBLEM PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 125, Number 2, February 1997, Pages 547 554 S 0002-9939(97)03614-9 A MOVING-KNIFE SOLUTION TO THE FOUR-PERSON ENVY-FREE CAKE-DIVISION PROBLEM STEVEN

More information

Lecture 13 February 23

Lecture 13 February 23 EE/Stats 376A: Information theory Winter 2017 Lecture 13 February 23 Lecturer: David Tse Scribe: David L, Tong M, Vivek B 13.1 Outline olar Codes 13.1.1 Reading CT: 8.1, 8.3 8.6, 9.1, 9.2 13.2 Recap -

More information

A variation on the game SET

A variation on the game SET A variation on the game SET David Clark 1, George Fisk 2, and Nurullah Goren 3 1 Grand Valley State University 2 University of Minnesota 3 Pomona College June 25, 2015 Abstract Set is a very popular card

More information

A tournament problem

A tournament problem Discrete Mathematics 263 (2003) 281 288 www.elsevier.com/locate/disc Note A tournament problem M.H. Eggar Department of Mathematics and Statistics, University of Edinburgh, JCMB, KB, Mayeld Road, Edinburgh

More information

Olympiad Combinatorics. Pranav A. Sriram

Olympiad Combinatorics. Pranav A. Sriram Olympiad Combinatorics Pranav A. Sriram August 2014 Chapter 2: Algorithms - Part II 1 Copyright notices All USAMO and USA Team Selection Test problems in this chapter are copyrighted by the Mathematical

More information

The tenure game. The tenure game. Winning strategies for the tenure game. Winning condition for the tenure game

The tenure game. The tenure game. Winning strategies for the tenure game. Winning condition for the tenure game The tenure game The tenure game is played by two players Alice and Bob. Initially, finitely many tokens are placed at positions that are nonzero natural numbers. Then Alice and Bob alternate in their moves

More information

Statistics Intermediate Probability

Statistics Intermediate Probability Session 6 oscardavid.barrerarodriguez@sciencespo.fr April 3, 2018 and Sampling from a Population Outline 1 The Monty Hall Paradox Some Concepts: Event Algebra Axioms and Things About that are True Counting

More information

Tribute to Martin Gardner: Combinatorial Card Problems

Tribute to Martin Gardner: Combinatorial Card Problems Tribute to Martin Gardner: Combinatorial Card Problems Doug Ensley, SU Math Department October 7, 2010 Combinatorial Card Problems The column originally appeared in Scientific American magazine. Combinatorial

More information

Discrete Mathematics and Probability Theory Spring 2016 Rao and Walrand Note 13

Discrete Mathematics and Probability Theory Spring 2016 Rao and Walrand Note 13 CS 70 Discrete Mathematics and Probability Theory Spring 2016 Rao and Walrand Note 13 Introduction to Discrete Probability In the last note we considered the probabilistic experiment where we flipped a

More information

The Exciting World of Bridge

The Exciting World of Bridge The Exciting World of Bridge Welcome to the exciting world of Bridge, the greatest game in the world! These lessons will assume that you are familiar with trick taking games like Euchre and Hearts. If

More information

arxiv: v1 [math.co] 30 Jul 2015

arxiv: v1 [math.co] 30 Jul 2015 Variations on Narrow Dots-and-Boxes and Dots-and-Triangles arxiv:1507.08707v1 [math.co] 30 Jul 2015 Adam Jobson Department of Mathematics University of Louisville Louisville, KY 40292 USA asjobs01@louisville.edu

More information

Cryptography. 2. decoding is extremely difficult (for protection against eavesdroppers);

Cryptography. 2. decoding is extremely difficult (for protection against eavesdroppers); 18.310 lecture notes September 2, 2013 Cryptography Lecturer: Michel Goemans 1 Public Key Cryptosystems In these notes, we will be concerned with constructing secret codes. A sender would like to encrypt

More information

Three Pile Nim with Move Blocking. Arthur Holshouser. Harold Reiter.

Three Pile Nim with Move Blocking. Arthur Holshouser. Harold Reiter. Three Pile Nim with Move Blocking Arthur Holshouser 3600 Bullard St Charlotte, NC, USA Harold Reiter Department of Mathematics, University of North Carolina Charlotte, Charlotte, NC 28223, USA hbreiter@emailunccedu

More information

Grade 7/8 Math Circles Game Theory October 27/28, 2015

Grade 7/8 Math Circles Game Theory October 27/28, 2015 Faculty of Mathematics Waterloo, Ontario N2L 3G1 Centre for Education in Mathematics and Computing Grade 7/8 Math Circles Game Theory October 27/28, 2015 Chomp Chomp is a simple 2-player game. There is

More information

28,800 Extremely Magic 5 5 Squares Arthur Holshouser. Harold Reiter.

28,800 Extremely Magic 5 5 Squares Arthur Holshouser. Harold Reiter. 28,800 Extremely Magic 5 5 Squares Arthur Holshouser 3600 Bullard St. Charlotte, NC, USA Harold Reiter Department of Mathematics, University of North Carolina Charlotte, Charlotte, NC 28223, USA hbreiter@uncc.edu

More information

I. WHAT IS PROBABILITY?

I. WHAT IS PROBABILITY? C HAPTER 3 PROAILITY Random Experiments I. WHAT IS PROAILITY? The weatherman on 10 o clock news program states that there is a 20% chance that it will snow tomorrow, a 65% chance that it will rain and

More information